AI & GEO for Restaurants

People ask AI tools where to eat gluten-free near a particular square, or which restaurant has a room for a family lunch, and a menu saved as a picture answers nothing.

• We publish the menu as text with allergens and diet marks beside every dish, and write in sentences what the kitchen can change and what it cannot.
• Practical facts are treated the same way: kitchen hours, whether dogs and prams are welcome, an entrance without steps, the size of the private room.

A restaurant is described by delivery apps, reservation portals, review sites, city guides and maps, and many of those entries were filled in once and forgotten.

• We go through them and correct what you control: the kind of cuisine, the price level, the hours, the link to the menu and the dishes you no longer serve.
• A tool that reads the web as it answers can take a lunch offer that no longer exists from an old entry. What a model learnt earlier is beyond your reach and ours.

An assistant may describe a restaurant through what guests wrote years ago: no reservations, cash only, a long wait at the door.

• Old reviews cannot be edited, so the current facts stand plainly on your site and on each platform: how to reserve, whether walk-ins are welcome, how to pay.
• A short reply under an old review that says what has changed is public as well, and a tool reading the web may find it next to the complaint.